class_docstr: Abstract clusterer which takes tokens and maps them into a vector space.
  Optionally performs singular value decomposition to reduce the
  dimensionality.
docstr: Returns the index of the appropriate cluster for the vector.
docstr_tok: ["Returns","the","index","of","the","appropriate","cluster","for","the","vector","."]
code: def classify_vectorspace(self, vector):
      """
      Returns the index of the appropriate cluster for the vector.
      """
  
imports: import copy
  from abc import abstractmethod
  from math import sqrt
  from sys import stdout
  from nltk.cluster.api import ClusterI
label_desc: Use image node_id 5 for calling the VectorSpaceClusterer obj's underlying member method code with example usage: obj.classify_vectorspace(vector) without return types